Local Model Networks for the Identification of Nonlinear State Space Models. - Max Schüssler; Tobias Münker; Oliver Nelles (CDC, 2019)

Deep Recurrent Neural Networks for Nonlinear System Identification. - Max Schüssler; Tobias Münker; Oliver Nelles (SSCI, 2019)

Identification of a potable water system. - Timm J. Peter; Max Schüssler; Daniel Rüschen; Oliver Nelles (Autom., 2021)

Optimization Approaches for Nonlinear State Space Models. - Max Schüssler; Oliver Nelles (IEEE Control. Syst. Lett., 2021)

Excitation Signal Design and Modeling Benchmark of NOx Emissions of a Diesel Engine. - Volker Smits; Max Schüssler; Geritt Kampmann; Christopher Illg; Tim Decker; Oliver Nelles (CCTA, 2022)

Machine learning with nonlinear state space models. - Max Schüssler (Autom., 2022)

Machine learning with nonlinear state space models (Maschinelles Lernen mit Nichtlinearen Zustandsraummodellen) - Max Schüssler (2022)

Physical-Inspired State Space Structure for Nonlinear Gray-Box Modeling. - Hermann Klein; Max Schüssler; Oliver Nelles (CoDIT, 2024)

Applying natural language processing to patient messages to identify depression concerns in cancer patients. - Marieke M. van Buchem; Anne A. H. de Hond; Claudio Fanconi; Vaibhavi B. Shah; Max Schüssler; Ilse M. J. Kant; Ewout W. Steyerberg; Tina Hernandez-Boussard (J. Am. Medical Informatics Assoc., 2024)